
Data-Driven Innovator
7 days ago
About the Role:
We are seeking a highly skilled AI Systems Developer to join our team. You will collaborate with cross-functional teams to design, build, and deploy scalable AI systems that drive innovation and measurable business outcomes.
Key Responsibilities:
- Design and Development
- Design, develop, and deploy AI models (regression, classification, clustering, deep learning).
- Data Pipelines and Feature Engineering
- Build and optimize data pipelines, feature engineering, and training workflows.
- Model Deployment and Maintenance
- Deploy models to production using Docker, Kubernetes, and cloud platforms (AWS/GCP/Azure).
- Monitor model performance, retrain, and maintain production-ready systems.
- API Development and Integration
- Develop APIs and integrate AI solutions with enterprise applications.
- Staying Up-to-Date and Innovation
- Stay updated on AI trends and contribute innovative solutions.
- Collaboration and Communication
- Collaborate with data scientists, engineers, and product managers to align with business goals.
Qualifications:
- 3+ years of experience in AI development or related field.
- Strong proficiency in Python; knowledge of Java/Scala/R is a plus.
- Expertise with AI libraries/frameworks: scikit-learn, TensorFlow, PyTorch, Keras.
- Hands-on with data tools: Pandas, NumPy, Spark.
- Experience with AI deployment (SageMaker, Azure ML, GCP AI, TensorFlow Serving, TorchServe).
- Familiarity with databases (SQL, MongoDB, Cassandra) and version control (Git).
- Understanding of DevOps/MLOps practices.
- Excellent problem-solving, communication, and collaboration skills.
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